票据行业AI自然语言模型训练数据

1、申请以企业基于自身在行业内多年的积累和一些公开外部数据加工而成的数据。主要收集整理本企业对于票据相关的业务数据和行业规则，以及票据行业动态，票据行业的发展，一些票据知识以及票据相关政策.主要包含了一些行业特殊用语例如瑕疵的描述、背书回头等，一些行业专属表达例如“打飞”，“背飞”等。以及其他票据行业的发展动态，标志性事件例如2016年央行下发《关于规范和促进电子商业汇票业务发展的通知》等。 2、内容：票据行业文档数据，包含票据行业历史，特殊表达，行业变迁，以及专家观点。 3、对象: 准备训练票据大模型的企业1. This dataset is composed of data processed by enterprises based on their years of industry accumulation and some public external data. It mainly collects and organizes the enterprise's own bill-related business data, industry regulations, industry trends, development status of the bill industry, relevant bill knowledge and bill-related policies. It includes multiple industry-specific terms, such as descriptions of defective bills, backward endorsements, etc., as well as some industry-exclusive expressions like "dafei" and "beifei". Additionally, it covers other developments and landmark events in the bill industry, such as the *Notice on Standardizing and Promoting the Development of Electronic Commercial Bill Business* issued by the People's Bank of China in 2016. 2. Content: Documentary data of the bill industry, including the history of the bill industry, specialized expressions, industry evolution, and expert viewpoints. 3. Target Applicants: Enterprises planning to train bill-specific Large Language Models (LLMs).

搜集汇总

数据集介绍

特点

该数据集由深度（山东）数字科技集团有限公司开发，包含票据行业的历史、特殊表达、行业变迁和专家观点等数据，主要用于训练AI模型以提升票据行业相关问题的处理效率和准确性。